Neural Machine Translation of Literary Texts from English to Slovene

no code implementations • WS 2019 • Taja Kuzman, {\v{S}}pela Vintar, Mihael Ar{\v{c}}an

Machine Translation Translation

Language Related Issues for Machine Translation between Closely Related South Slavic Languages

no code implementations • WS 2016 • Maja Popovi{\'c}, Mihael Ar{\v{c}}an, Filip Klubi{\v{c}}ka

This work explores the obstacles for machine translation systems between closely related South Slavic languages, namely Croatian, Serbian and Slovenian.

Machine Translation Translation

PE2rr Corpus: Manual Error Annotation of Automatically Pre-annotated MT Post-edits

no code implementations • LREC 2016 • Maja Popovi{\'c}, Mihael Ar{\v{c}}an

We present a freely available corpus containing source language texts from different domains along with their automatically generated translations into several distinct morphologically rich languages, their post-edited versions, and error annotations of the performed post-edit operations.

Classification General Classification

Potential and Limits of Using Post-edits as Reference Translations for MT Evaluation

no code implementations • WS 2016 • Maja Popovic, Mihael Ar{\v{c}}an, Arle Lommel

Common Sense Reasoning Machine Translation

Identifying main obstacles for statistical machine translation of morphologically rich South Slavic languages

no code implementations • WS 2015 • Maja Popovi{\'c}, Mihael Ar{\v{c}}an

Machine Translation Translation

Poor man's lemmatisation for automatic error classification

no code implementations • WS 2015 • Maja Popovi{\'c}, Mihael Ar{\v{c}}an, Eleftherios Avramidis, Aljoscha Burchardt, Arle Lommel

Classification General Classification +1